Tech Stocks Poised for Value Amidst Strong Earnings

U.S. tech stocks are experiencing a resurgence following another robust earnings season, with recent analysis from Morningstar indicating that the sector is presenting investors with some of the most attractive valuations seen in years. This comes after a period where market observers expressed concerns about a potential bubble forming in the U.S. equity market, particularly among the “Magnificent Seven” stocks, driven by the fervor surrounding artificial intelligence.

The fervor surrounding artificial intelligence reached a peak in October 2025, when the forward P/E ratio for the S&P 500 Information Technology sector surpassed 30x, according to data from FactSet. However, a string of strong earnings reports since then has allowed technology companies to “grow into” their elevated stock prices. This has been achieved by boosting the earnings per share (the “E” in the P/E ratio), thereby compressing valuation multiples and making the sector appear more reasonably priced.

Morningstar’s research suggests that the AI investment theme is currently trading at its most significant discount since 2019. Michael Field, chief equity strategist at Morningstar, described this as a “fantastic entry point” for investors, citing the firm’s proprietary price-to-fair-value metric. Field emphasized that the AI trend is not a fleeting bubble, but rather underpinned by solid fundamental drivers. “The demand for semiconductors is exceeding expectations, and key infrastructure components like data centers remain robust. The AI narrative still has considerable room to run, and investors should capitalize on these opportunities while they persist,” he stated.

The volatility experienced in the U.S. equity markets in early 2026 led to a decline from record-high valuations among AI-focused stocks, presenting what Morningstar termed “more attractive pricing” for those most affected. This sentiment is further supported by recent earnings updates from the “Magnificent Seven” companies, which collectively increased their capital expenditure guidance for 2026 to approximately $725 billion, an upward revision from the previously anticipated $670 billion, according to Saxo Bank. This significant investment signals a continued commitment to infrastructure and development within the AI ecosystem.

Despite the bullish outlook, some analysts remain cautious about the long-term sustainability of these phenomenal capital expenditure figures by hyperscalers. Dan Kemp, founder of investment consultancy Portfolio Thinking, shared his perspective: “We previously found it challenging to believe that companies could sustain such high growth rates and profitability. Now, we find it equally difficult to believe they won’t. Investors will need a strong conviction to assume that these companies can continue to generate superior returns without facing increased competition, which is a common dynamic in capital markets.”

The core thesis supporting this projected earnings growth relies on the notion that artificial intelligence represents a “secular” trend, insulated from the typical boom-and-bust cycles of the broader economy. While this may hold true, Sophie Huynh, a portfolio manager at BNP Paribas Asset Management, suggests that physical constraints could pose a more significant impediment to future profits than economic cycles themselves. “The pace of AI adoption could be uneven, as limitations may arise from the total availability of processing ‘tokens’,” she explained. Tokens are the fundamental units of computation that users purchase to operate AI models. The increasing scarcity of these tokens has led tech firms to ration their usage.

In the interim, technology continues to be the dominant theme in investor portfolios. J.P. Morgan Private Bank observes that the sector has become “the answer to everything and everyone,” functioning as both a cyclical and defensive play, as well as the primary driver of earnings growth. Kriti Gupta, global investment strategist at J.P. Morgan, noted in a May 1st commentary: “When investors were optimistic about AI, they bought tech. When they were concerned about inflation, they bought tech. In their pursuit of outperformance, they bought tech. When considering sustainability, they bought tech. For growth investments, they bought tech. To capitalize on the capex cycle, they bought tech. And when they felt insecure about the global landscape and sought a company with a substantial cash reserve, they bought tech.” This pervasive demand highlights the multifaceted appeal of the technology sector in the current investment landscape.